1. G. Perin, F. Meneghello, R. Carli, L. Schenato and M. Rossi, 'EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources', IEEE Transactions on Green Communications and Networking, vol. 7, no. 1, pp. 339-353, March 2023.
2. G. Perin, M. Berno, T. Erseghe and M. Rossi, 'Towards Sustainable Edge Computing Through Renewable Energy Resources and Online, Distributed and Predictive Scheduling', IEEE Transactions on Network and Service Management, vol. 19, no. 1, pp. 306-321, March 2022.
Conference Papers:
1. A. Khoshsirat, G. Perin and M. Rossi, 'Divide and Save: Splitting Workload Among Containers to Save Energy and Time', 2023 IEEE International Communications Conference (ICC), GreenNet Workshop, 2023, pp. 1-6.
2. G. Perin and L. Badia, 'Reinforcement Learning for Jamming Games Over AWGN Channels With Mobile Players', 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2021, pp. 1-6.
3. G. Perin, A. Buratto, N. M. Anselmi, S. Wagle and L. Badia, 'Adversarial Jamming and Catching Games over AWGN Channels with Mobile Players', 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2021, pp. 319-324.
4. G. Perin, D. Nophut, L. Badia and F. H. P. Fitzek, 'Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits', 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020, pp. 0472-0478.
5. G. Perin, G. Fighera and L. Badia, 'Comparison of Nash Bargaining and Myopic Equilibrium for Resources Allocation in Cloud Computing', 2019 IEEE Global Communications Conference (GLOBECOM), 2019, pp. 1-6.
Book Chapters:
F. Meneghello, G. Perin and M. Rossi, 'Machine Learning Techniques for Context Extraction and User Profiling in 5G Mobile Systems', book chapter, in 'Machine Learning and 5G/6G Networks: Interplay and Sinergies', CNIT Technical Report-07, 2021, editors Sergio Barbarossa and Andrea Zanella, ISBN: 9788894982503.
Preprints:
G. Perin, F. Meneghello, R. Carli, L. Schenato and M. Rossi, 'EASE: Energy-Aware job Scheduling for vehicular Edge networks with renewable energy resources', arXiv preprint, 2021.
Education
2009-2014: Scientific High School, Giorgione, Castelfranco Veneto (TV), Graduated with 100/100
2014-2017: BSc in Information Engineering, University of Padova, Graduated with 110/110
2017-2019: MSc in ICT for Internet and Multimedia, University of Padova, Graduated with 110/110 summa cum laude
2019 April-August: Internship and Master Thesis at the Technical University of Dresden (Germany)
2019-2022: Ph.D. in Information Engineering, University of Padova, Supervisor: Prof. Michele Rossi
2022 February-August: Visiting Scholar at the University of California, Irvine (USA)
Background
Postdoc Researcher at the Department of Information Engineering, University of Padova, Italy. Research focuses on the management and control of distributed networks, particularly green edge computing and federated learning.
Miscellany
In his free time, he is a volleyball player and trainer, and sings as a baritone with Coro Val Canzoi.